Activity-Based Protein Profiling for Functional Cysteines and Protein Target Identification.

Tin-Yan Koo, Clive Yik-Sham Chung

Abstract read

In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Tin-Yan KooSchool of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, People's Republic of China.

Clive Yik-Sham ChungSchool of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, People's Republic of China. cyschung@hku.hk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Activity-based protein profiling (ABPP) has been widely used for proteome-wide cysteine profiling to study functional cysteines in biological systems. ABPP can also be performed in a competitive manner for lead compound discovery and target identification of the lead compound. Recently, we reported a new class of acrylamide-based cysteine probe, NAIA, which has superior cysteine reaction kinetics to capture more functional cysteines. We further established the workflow of using NAIA for cysteine profiling by mass spectrometry (MS)-based ABPP. Here, we describe a step-by-step protocol using NAIA in the MS-based ABPP experiments for profiling functional cysteines in cancer cells/cell lysates and protein target identification of covalent ligands.

Indexed as

CysteineProteinsProteomicsAcrylamideHumansLigandsMass SpectrometryProteomeAcrylamideCysteineLigandsProteinsProteomeAcrylamideActivity-based probesActivity-based protein profilingChemoproteomicsCysteine profilingCysteinomeMass spectrometryTarget identification

Identifiers

PMID40515999

DOI10.1016/j.crchbi.2022.100024

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.